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awesome_slam_computer_vision_resources

记录3D视觉、VSLAM、计算机视觉的干货资料。

buildlibrealsense2tx2

This is a guide to install D435i driver on TX2 with flashed Jetpack4.2

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

centerpoint

cuda_utils

CUDA utils API

dbnet_onnx

fork from https://github.com/hpc203/dbnet-barcode

dcnv2

Deformable Convolutional Networks v2 with Pytorch

detectron-cascade-rcnn

Cascade R-CNN in Detectron

east

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

easydarwin

open source、high performance、industrial rtsp streaming server,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a simple streaming media cloud platform architecture.高性能开源RTSP流媒体服务器，基于go语言研发，维护和优化：RTSP推模式转发、RTSP拉模式转发、录像、检索、回放、关键帧缓存、秒开画面、RESTful接口、WEB后台管理、分布式负载均衡，基于EasyDarwin构建出了一套基础的流媒体云视频平台架构！

easypusher

免费组件：简单、高效、稳定、免费的一款标准RTSP/RTP协议直播推送库，支持将H.264/H.265/G.711/G.726/AAC等音视频数据推送到RTSP流媒体服务器（例如EasyDarwin）进行低延时直播或者视频通信，支持Windows、Linux、ARM、Android、iOS等平台，EasyPusher配套EasyDarwin流媒体服务器、EasyPlayer RTSP播放器适用于特殊行业的低延时应急指挥需求！ Android迁移到了https://github.com/EasyDarwin/EasyPusher-Android , iOS迁移到了https://github.com/EasyDarwin/EasyPusher-iOS

fastmaskrcnn

Mask RCNN in TensorFlow

fcnn-for-road-detection

Semantic segmentation to detect roads using fully convolutional neural networks

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

hector_models

hector_models contains (urdf) models of sensors and robot components.

insightface

State-of-the-art 2D and 3D Face Analysis Project

intelligent-robot-system

Using CNN for real time object detection on Jetson TX2 with Intel realsense camera and connect robot arms

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

librealsense

Intel® RealSense™ SDK

license-plate-detect-recoginition-pytorch

深度学习车牌检测与识别，检测结果包含车牌矩形框和4个角点，基于pytorch框架运行

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

ncnn_paddleocr

Android paddleocr demo infer by ncnn

netron

Visualizer for neural network, deep learning, and machine learning models

p2p

🖥️ P2P Remote Desktop - Portable, No Configuration or Installation Needed.

paddleocrv2_rk3566

paddleutils

Some tools to operate PaddlePaddle model

plard

Progressive LiDAR Adaptation for Road Detection

pycococreator

Helper functions to create COCO datasets